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Concept - Affinity chromatography for Vaccines purification

The general concept consists in using affinity chromatography applied to the highly demanding field of vaccine production. The partners will combine two major nanotechnology innovations (Nanofitin® ligands for affinity capture and Aquaporin Inside™ membranes for fluid recycling) to develop an integrated purification platform amenable to diverse, heterogeneous types of vaccines : glycoconjugates, protein antigens and viruses.

GSK brings to the consortium a broad range of representative targets that are actual vaccine candidates and will ensure along the way that purification processes developed under DiViNe project meet industrial needs and expectations.

Nanofitins® will be discovered by Affilogic and selected for their ability to release the vaccine targets under mild elution conditions, not hampering their integrity. Further engineering of the Nanofitins® will enable enhanced capture performances of the affinity material.

Merck KGaA will provide the chromatographic materials and coupling technologies to immobilize the Nanofitin® affinity ligands. The most promising materials will be optimized regarding dynamic binding capacity, operational stability, and process economical aspects.

Membrane purification of water with Aquaporin Inside™ membranes is currently applied to cleantech but not to pharmaceuticals. Aquaporin will implement its technology for water recycling and reusability in a much more demanding area in terms of purity and controls.

iBET is Project Coordinator as well as responsible for the whole process validation, including QC and up- and downstream integration. The synthesis of the final prototypes will be scaled up into multi-Liter scale.

GenIbet Biopharmaceuticals will perform all required QC testing and be responsible for cGMP manufacturing compliance. Taking into account quality and regulatory requirements, they will identify a path to valid this global, compliant, environment-friendly process for vaccines manufacturing.

This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement Nº 635770